![]() ![]() Why doesn't Power BI do the same when importing the data?ĮDIT: A colleague of mine has noticed similar issues in Excel, so it doesn't appear to be just a Power BI issue. DBeaver correctly handles all of these methods. PostgreSQL: DATEPART(day,date2 - date1) MySQL: DATEDIFF(date1,date2). Flooring the date (date_trunc method) returns the raw value, including the 8:00 PM time - Boo! These functions describe how to find the difference in days between two dates. Casting the date value to a DATE rounds the date to 12:00:00 AM - Boo! Starting with Npgsql 6.0, these special values are mapped to the. The PostgreSQL logic to extract the month returns April, as if it's rounding up - Boo! NET types ( DateTime and DateOnly, NodaTime Instant and LocalDate). The raw date comes in correctly ( 8:00:00 PM) - Yay! However, in Power BI (using the Import method): Extracting the month value also gives me March. In DBeaver, the date matches user entry values in the front end application. From that date, I want to extract the month value, which would be "3", or "March". Lets say I have a date of " 20:00:00" (so 8pm on ). What I have written is : datediff minute,paymenttime,triggertime) < 15 I basically want the count of users who paid within 15 mins of the triggered time thus I have also done count (s.userid) as count However it returns count as 1 even in the above. In SQL Server, you can use DATEDIFF function to get the datetime difference in specified units. In SQL Server: Like we do in SQL Server its much easier. DATEDIFF Function - SQL Server to PostgreSQL Migration. ![]() The application sits on top of a PostgreSQL database, which I'm able to connect to Power BI. I am using the DATEDIFF function to calculate the difference between my two timestamps. Here I need to calculate the difference of the two dates in the PostgreSQL. We have a front-end client where our users enter dates in a datetime format. Home PostgreSQL Date Functions The following page shows the most commonly used PostgreSQL date functions that allow you to manipulate date and time values effectively. ![]()
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